inst/benchmarks/bench-discretise.R

In FSelectorRcpp: 'Rcpp' Implementation of 'FSelector' Entropy-Based Feature Selection Algorithms with a Sparse Matrix Support

library(RWeka)
library(FSelectorRcpp)

dt <- lapply(1:5, function(x) data.frame(x = rnorm(10, mean = 10 * x), y = x))
dt <- Reduce(rbind, dt)
dt[, 2] <- as.factor(dt[, 2])

x <- dt$x
y <- dt$y

fs_discretize(x, y)

plot(x, y)


system.time(Discretize(y~x))
system.time(fs_discretize(x, y))

all(fs_discretize(x, y) + 1 == as.numeric(Discretize(y~x)[, 1]))

microbenchmark::microbenchmark(Discretize(y~x), fs_discretize(x, y))

y <- y[order(x)]
x <- sort(x)


fs_cut_index(x, y)

plot(fs_discretize(x, y))